This section is designed to provide different levels of resources depending on where you are in your AI in Education journey. You will find smaller pieces of information to get you thinking, as well as some shorter reads which may include a selection of academic papers, and then some deeper resources for those of you with bigger questions.
At the top, you will also find a list of high-quality repositories of AI tools that may be of interest. If you do find an effective tool or use, please share it with your fellow staff.
When it comes to AI tools, be sure to interview the tool by asking it questions like:
What version of Chat-GPT do you use, or what AI model do you use?
What curriculum do you use for suggestions?
What pedagogies do you use for suggestions?
Before selecting and using an AI tool, it is important to go through a series of steps to ensure the use of the AI is appropriate and safe.
The guidelines on the left from Digital Promise give some good questions for consideration before using an AI.
NotebookLM is available for staff use. One of the big features is the integration of documents like PDFs or items from Google Drive as a collection and then "interviewing" those documents to pull up answers to questions. It also cites where in the documents it is pulling information from to be double-checked.
You can also share the collections/LMs you create with other people.
Lastly, it can generate artificial conversations based on the information in the LM and generate a pod-cast-like audio file that can be listened to, shared and downloaded for use later.
On February 8, 2024, Google made its AI model Gemini available in Canada.
Currently, the basic version is enabled for Division (EPSB) email accounts. This does not include the "Extensions" functionality which integrates Gemini into existing Google Services that allows Gemini to give personalized responses based on the apps connected to it.
To learn more, visit: https://support.google.com/gemini/answer/14620100
To learn more about the Division integration of Gemini, please see the Division Resources page.
Microsoft Copilot (formally Bing Chat) is one of the more robust and freely accessible AI tools available. The close partnership OpenAI has with Microsoft means that the version of GPT that Copilot operates on is normally more current than other free tools available.
Educators looking to learn more about Copilot can check out this online course that Microsoft offers. Click here.
It is currently available built into most versions of Windows 11.
An AI Educational tool for teachers built in Alberta, this tool has three several paid tiers to access their resources.
For more information, click the link to the left. More information will be available as the tool is used.
MagicSchool.ai is a collection of tools designed to help educators generate a variety of responses, information, documentation and more.
Sign-in can currently occur through your Google account.
The AI PLN at ATLE has been building capacity through conversation and resource sharing.
This co-created searchable, filtered Sheet of AI resources has been tagged to best support those of us exploring AI in education - and to support our AI PLN as we begin to develop resources.
A website has been launched called FutureTools.io that allows you to browse a curated list of AI-powered tools. It allows you to search for what you are looking for as well as the cost. There are a lot of free AI-based tools to browse that might give you some ideas on how to leverage the technology.
Our colleagues over at the TIPS Team have put together a short tutorial video and a few reminders on ensuring privacy is being considered.
Mainly focused on higher education, TeachOnline.ca has a list of curated resources which are organized into these key areas:
Latest Developments
Background on AI
Experiences, Creation, Support
Assessment, Grading, Examinations
Policy and Concerns
An AI-powered repository that lists new AI tools that are being released daily. This will be a more comprehensive database but also potentially overwhelming as it is being curated by a machine.
Due to the constant advancement in this field, newer and better tools are constantly being released. Be mindfind of how much time you are investing into the tools of your choice for yourself and your students.
As AI technology continues to improve, Large Language Models (LLMs) can be run on local hardware like a desktop or laptop computer.
While requiring more technical ability to get up and running, these models are not as powerful as online models but offer users privacy as no data is sent to the cloud.
They rely on the power of the machine to process queries so you won't be able to feed them as much information as you would an online model that has access to server-grade hardware.